Instructions to use unsloth/DeepSeek-V3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unsloth/DeepSeek-V3-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unsloth/DeepSeek-V3-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unsloth/DeepSeek-V3-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/DeepSeek-V3-GGUF:Q4_K_M
Use Docker
docker model run hf.co/unsloth/DeepSeek-V3-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use unsloth/DeepSeek-V3-GGUF with Ollama:
ollama run hf.co/unsloth/DeepSeek-V3-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use unsloth/DeepSeek-V3-GGUF with Docker Model Runner:
docker model run hf.co/unsloth/DeepSeek-V3-GGUF:Q4_K_M
- Lemonade
How to use unsloth/DeepSeek-V3-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/DeepSeek-V3-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepSeek-V3-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download DeepSeek-V3-Q5_K_M/DeepSeek-V3-Q5_K_M-00006-of-00010.gguf from unsloth/DeepSeek-V3-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 48.5 GB
-
https://huggingface.co/unsloth/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3-Q5_K_M/DeepSeek-V3-Q5_K_M-00006-of-00010.gguf
- Command line
-
hf download hf://unsloth/DeepSeek-V3-GGUF/DeepSeek-V3-Q5_K_M/DeepSeek-V3-Q5_K_M-00006-of-00010.gguf
-
curl -L -o DeepSeek-V3-Q5_K_M-00006-of-00010.gguf https://huggingface.co/unsloth/DeepSeek-V3-GGUF/resolve/main/DeepSeek-V3-Q5_K_M/DeepSeek-V3-Q5_K_M-00006-of-00010.gguf
48.5 GB
- Xet hash:
- 8d86fd2354bfee71237f2e830355fa835b190691851df05eb1d7a5da9090d09e
- Size of remote file:
- 48.5 GB
- SHA256:
- 75ddf1ded0be3ed8537127a1d4e3d2179facf117911a28beefd9f4b55ab3a77b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.